Comment on ""short-term arterial travel time prediction for advanced traveler information systems"" by Wei-Hua Lin, Amit Kulkarni, and Pitu Mirchandani

Tsekeris, T

dc.contributor.author	Tsekeris, T	en
dc.date.accessioned	2014-03-01T01:23:42Z
dc.date.available	2014-03-01T01:23:42Z
dc.date.issued	2006	en
dc.identifier.issn	1547-2450	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/17104
dc.subject	Delay Estimation	en
dc.subject	Dynamic Travel Time Prediction	en
dc.subject	Signalized Street Networks	en
dc.subject	Traffic information	en
dc.subject.classification	Transportation Science & Technology	en
dc.subject.other	Data reduction	en
dc.subject.other	Mathematical models	en
dc.subject.other	Real time systems	en
dc.subject.other	Robustness (control systems)	en
dc.subject.other	Statistical methods	en
dc.subject.other	Delay Estimation	en
dc.subject.other	Dynamic Travel Time Prediction	en
dc.subject.other	Signalized Street Networks	en
dc.subject.other	Traffic information	en
dc.subject.other	Intelligent vehicle highway systems	en
dc.title	Comment on ""short-term arterial travel time prediction for advanced traveler information systems"" by Wei-Hua Lin, Amit Kulkarni, and Pitu Mirchandani	en
heal.type	journalArticle	en
heal.identifier.primary	10.1080/15472450500455252	en
heal.identifier.secondary	http://dx.doi.org/10.1080/15472450500455252	en
heal.language	English	en
heal.publicationDate	2006	en
heal.abstract	The present article provides a number of technical comments on a model for the short-term prediction of arterial travel times, as it was described by Lin, Kulkarni, and Mirchandani ( 2004). The article discusses several limitations related to data requirements and underlying assumptions, which can affect the accuracy and the statistical robustness of the proposed model. This discussion signifies potential improvements with regard to the efficiency and the practical usage of such types of models for the real-time deployment of advanced traveler information systems in signalized street networks of realistic size.	en
heal.publisher	TAYLOR & FRANCIS INC	en
heal.journalName	Journal of Intelligent Transportation Systems: Technology, Planning, and Operations	en
dc.identifier.doi	10.1080/15472450500455252	en
dc.identifier.isi	ISI:000248082400005	en
dc.identifier.volume	10	en
dc.identifier.issue	1	en
dc.identifier.spage	41	en
dc.identifier.epage	43	en